Digital transformation has been occurring across most industries over recent years, and businesses have started adopting multi-cloud digital infrastructures in order to remain agile and scalable. These hybrid multi-cloud infrastructures present complexities in managing and monitoring data.

A research report by Dynatrace states that 99% of organizations have multi-cloud environments and use an average of 7 monitoring tools to manage those environments. In the same report, it states 56% of IT leaders cite a need to replace traditional monitoring methods with a platform that provides end-to-end visibility across multi-clouds.

In 2016, Gartner coined the term AIOps to represent artificial intelligence for IT operations (ITOps). Over the years, the ongoing emergence of AIOps has helped automate and streamline traditional ITOps workflows. It uses big data and machine learning to automate IT operation processes, such as event correlation, anomaly detection, and causality determination.

“IT operations are challenged by the rapid growth in data volumes generated by IT infrastructure and applications that must be captured, analyzed, and acted on.” – Padraig Byrne, Senior Director Analyst at Gartner. 

AIOps finds and eliminates problems by analyzing the data collected by ITOps and identifying peculiar patterns.

Why do you need AIOps in your enterprise’s ITOps?

By 2023, 40% of companies will be using AIOps for application and infrastructure monitoring, according to Gartner. Customer expectations of digital performance are rising, and as a result many enterprises are searching for ways to improve how well they can provide customers with quality services and products. In order to gain competitive advantage over these businesses, you should try implementing AIOps in your ITOps too.

Take Carhartt for example, a work wear brand that decided to apply AIOps in its ITOM in 2020 after experiencing performance issues during Black Friday and Cyber Monday. Most customers had already experienced service degradation when the company spotted these issues. John Hill, CIO of Carhartt, says AIOps likely saved 25% of his enterprise’s IT infrastructure costs each year.

If your company has an online presence, it is high time that you start thinking about implementing AIOps. But adopting AIOps is not an easy task, you have to follow some strategies to ensure that its implementation will improve your company’s ROI.

Strategies that you can follow while implementing AIOps in your ITOM

There are several strategies that can be used while implementing AIOps. But, you will have to check whether a strategy aligns with your business goals before implementation. You can’t just put AIOps in your system and expect it to do it’s job.

  • According to research by Microfocus, they found that AIOps supports more than eight domain-specific roles and eleven cross-domain roles.
  • It’s better if you build a small test business model with a single problem to implement AIOps and see if it works properly.
  • AIOps loves data. Before implementing, start collecting all kinds of data from different platforms in your enterprise to feed to AIOps.
  • You should deploy AIOps in your ITOM phase-by-phase, starting with your enterprise’s smaller problems and moving on to bigger ones as you progress.
  • Even after implementing AIOps, spend some time where you’re constantly monitoring your ITOps to see whether it is working properly.

And the final part is watching AIOps support your business growth. Attend ManageEngine’s seminar on “The importance of AIOps and ways to successfully implement it” to get to know our strategy of implementing AIOps. You can also question our product experts Anantha Vignesh, Aswim, Gowrisankar Chinnayan, and Sharath Babu to find out what strategy would work the best for your business. Hurry and register now!

What will you learn from this event?

  • The role AIOps plays in today’s ITOM landscape.
  • How to achieve in-depth visibility into network performance.
  • How to accomplish greater control over all network operations.
  • How to leverage full-stack application monitoring for end-to-end visibility.

Event details

Date: Oct. 12 & 14, 2022

Venue: Mumbai & Delhi, India

Time: Starting 8:30am IST both days

Register here